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README.md

@@ -1,37 +1,63 @@
 ---
-dataset_info:
-  features:
-  - name: image
-    dtype: image
-  - name: drawer_id
-    dtype: string
-  - name: card_number
-    dtype: int64
-  - name: filename
-    dtype: string
-  - name: text
-    dtype: string
-  - name: has_ocr
-    dtype: bool
-  - name: source
-    dtype: string
-  - name: source_url
-    dtype: string
-  - name: ia_collection
-    dtype: string
-  - name: markdown
-    dtype: string
-  - name: inference_info
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 14792451103.156
-    num_examples: 49654
-  download_size: 14644993566
-  dataset_size: 14792451103.156
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+tags:
+- ocr
+- document-processing
+- glm-ocr
+- markdown
+- uv-script
+- generated
 ---
+
+# Document OCR using GLM-OCR
+
+This dataset contains OCR results from images in [biglam/rubenstein-manuscript-catalog](https://huggingface.co/datasets/biglam/rubenstein-manuscript-catalog) using GLM-OCR, a compact 0.9B OCR model achieving SOTA performance.
+
+## Processing Details
+
+- **Source Dataset**: [biglam/rubenstein-manuscript-catalog](https://huggingface.co/datasets/biglam/rubenstein-manuscript-catalog)
+- **Model**: [zai-org/GLM-OCR](https://huggingface.co/zai-org/GLM-OCR)
+- **Task**: text recognition
+- **Number of Samples**: 49,654
+- **Processing Time**: 343.2 min
+- **Processing Date**: 2026-02-14 15:38 UTC
+
+### Configuration
+
+- **Image Column**: `image`
+- **Output Column**: `markdown`
+- **Dataset Split**: `train`
+- **Batch Size**: 64
+- **Max Model Length**: 8,192 tokens
+- **Max Output Tokens**: 8,192
+- **Temperature**: 0.01
+- **Top P**: 1e-05
+- **GPU Memory Utilization**: 95.0%
+
+## Model Information
+
+GLM-OCR is a compact, high-performance OCR model:
+- 0.9B parameters
+- 94.62% on OmniDocBench V1.5
+- CogViT visual encoder + GLM-0.5B language decoder
+- Multi-Token Prediction (MTP) loss for efficiency
+- Multilingual: zh, en, fr, es, ru, de, ja, ko
+- MIT licensed
+
+## Dataset Structure
+
+The dataset contains all original columns plus:
+- `markdown`: The extracted text in markdown format
+- `inference_info`: JSON list tracking all OCR models applied to this dataset
+
+## Reproduction
+
+```bash
+uv run https://huggingface.co/datasets/uv-scripts/ocr/raw/main/glm-ocr.py \
+    biglam/rubenstein-manuscript-catalog \
+    <output-dataset> \
+    --image-column image \
+    --batch-size 64 \
+    --task ocr
+```
+
+Generated with [UV Scripts](https://huggingface.co/uv-scripts)